Evan Shelhamer
c028d09ca6
rewrite MKL flag note, polish makefile
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add MKL dirs conditioned on USE_MKL
include libraries before making LD_FLAGS
2014-03-21 13:52:36 -07:00
Rowland Depp
a8c9b66b7f
major refactoring allow coexistence of MKL and non-MKL cases
2014-03-21 13:52:36 -07:00
Kai Li
1cf822e53b
Replace atlas with multithreaded OpenBLAS to speed-up on multi-core CPU
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issue: #79
2014-03-21 13:52:35 -07:00
Jeff Donahue
4f6b26632a
fix bernoulli generator bug
2014-03-21 13:52:35 -07:00
Jeff Donahue
6cbf9f189b
add bernoulli rng test to demonstrate bug (generates all 0s unless p ==
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1)
2014-03-21 13:52:35 -07:00
Jeff Donahue
b3e4ac55fe
change all Rng's to use variate_generator for consistency
2014-03-21 13:52:35 -07:00
Jeff Donahue
4b1fba7be3
use boost variate_generator to pass tests w/ boost 1.46 (Gaussian filler
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previously filled in all NaNs for me, making many tests fail)
2014-03-21 13:52:35 -07:00
Jeff Donahue
93c9f151dc
make uniform distribution usage compatible with boost 1.46
2014-03-21 13:52:35 -07:00
Alejandro Dubrovsky
b9257396d6
mean_bound and sample_mean need referencing with this
2014-03-21 13:52:35 -07:00
Alejandro Dubrovsky
2ae2683fb8
nextafter templates off one type
2014-03-21 13:52:35 -07:00
Evan Shelhamer
d37a995b96
relax precision of MultinomialLogisticLossLayer test
2014-03-21 13:52:35 -07:00
Kai Li
788f070d06
Fix math funcs, add tests, change Eigen Map to unaligned for lrn_layer
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[shelhamer: removed math function tests, since they were merged via
other branches]
2014-03-21 13:52:34 -07:00
Kai Li
38457e1c1f
Fix test stochastic pooling stepsize/threshold to be same as max pooling
2014-03-21 13:52:34 -07:00
Kai Li
d666bdc9d3
Fixed FlattenLayer Backward_cpu/gpu have no return value
2014-03-21 13:52:34 -07:00
Kai Li
04ca88ac15
Fixed uniform distribution upper bound to be inclusive
2014-03-21 13:52:34 -07:00
Rodrigo Benenson
e4e93f4d12
compile caffe without MKL (dependency replaced by boost::random, Eigen3)
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- examples, test and pycaffe compile without problem (matcaffe not tested)
- tests show some errors (on cpu gradient tests), to be investigated
- random generators need to be double checked
- mkl commented code needs to be removed
2014-03-21 13:52:34 -07:00
Jeff Donahue
510b3c028f
Merge pull request #247 from jeffdonahue/loss-in-forward-window-data-layer
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Loss in forward pass fix for window data layer
2014-03-21 13:11:36 -07:00
Jeff Donahue
a123130cb3
loss in forward pass fix for window data layer
2014-03-21 13:05:59 -07:00
Jeff Donahue
e6ef9ca4c8
Merge pull request #209 from jeffdonahue/loss-in-forward-pass
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Compute loss in the forward pass
2014-03-21 12:52:16 -07:00
Evan Shelhamer
50862880dd
Back-merge documentation and script fixes
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fix script path incantation
convert css indentation to spaces
fix cifar10 leveldb creation path
wget without checking certificate for dropbox (dodge complaint on linux)
docs: added list of contributors
minor style update of docs
2014-03-19 22:34:01 -07:00
Evan Shelhamer
19a7e23ccc
fix script path incantation
2014-03-19 22:31:59 -07:00
Sergey Karayev
aa0a52f9e6
convert css indentation to spaces
2014-03-19 22:17:28 -07:00
Evan Shelhamer
9312fe0be2
fix cifar10 leveldb creation path
2014-03-19 22:13:24 -07:00
Evan Shelhamer
62a4ba88f7
wget without checking certificate for dropbox (dodge complaint on linux)
2014-03-19 22:03:40 -07:00
Sergey Karayev
45b31bf5c9
docs: added list of contributors
2014-03-19 21:39:52 -07:00
Sergey Karayev
fd47362deb
minor style update of docs
2014-03-19 21:27:22 -07:00
Sergey Karayev
3b51aab66d
Fix to #161
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- signficantly change the documentation file
- link to it from index.md
- remove the image resizing script, since (a) it does not work, (b) is obviated by using ImagesLayer
- add sample prototxt that uses ImagesLayer.
2014-03-19 21:25:44 -07:00
Sergey Karayev
c10ba54f0f
Merge pull request #161 from kloudkl/simplify_feature_extraction
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Feature extraction, feature binarization and image retrieval examples
2014-03-19 21:21:28 -07:00
Jeff Donahue
ec6f3b8466
minor cleanup in rcnn-finetuning -- rcnn feature computation tested at
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this commit (in addition to all caffe unit tests passing)
2014-03-19 20:50:13 -07:00
Ross Girshick
dfec9471ea
cleanup matlab demo
2014-03-19 19:17:40 -07:00
Ross Girshick
9c7a993947
add initialization key for verifying state
2014-03-19 19:12:57 -07:00
Ross Girshick
ba10066aff
demo on how to get net weights using the matlab interface
2014-03-19 19:12:57 -07:00
Ross Girshick
dee9ce76ff
return model weights
2014-03-19 19:12:54 -07:00
Evan Shelhamer
b68cf5ee13
keep DLOG (revert accidental switch to LOG)
2014-03-19 19:09:57 -07:00
Evan Shelhamer
32cea65d8a
file pascal finetuning prototxt examples and fix paths
2014-03-19 19:09:57 -07:00
Ross Girshick
6f653798f0
set default to the best value
2014-03-19 19:09:54 -07:00
Ross Girshick
f1a64b7bc1
some cleanup
2014-03-19 19:09:20 -07:00
Ross Girshick
458fa2b6b4
fix paths
2014-03-19 19:08:30 -07:00
Ross Girshick
13392972d9
support for tightest square mode while finetuning
2014-03-19 19:08:28 -07:00
Ross Girshick
5cb7c23367
10x learning rate for fine tuning makes a big difference
2014-03-19 19:07:23 -07:00
Ross Girshick
17a0c1686b
support for adding padding to windows in the window_data_layer
2014-03-19 19:07:20 -07:00
Ross Girshick
bb0e72c817
Code that was used to finetune with reasonable success
2014-03-19 19:06:05 -07:00
Ross Girshick
d98ce8fc48
some major bug fixes (includes some to-be-removed debugging code)
2014-03-19 19:06:05 -07:00
Ross Girshick
f40c30bdd5
adjustments to try to match the setup for fine tuning with cuda-convnet
2014-03-19 19:06:05 -07:00
Ross Girshick
f4a2c14b13
define pascal finetuning models
2014-03-19 19:06:05 -07:00
Ross Girshick
fc79306482
add window data layer
2014-03-19 19:05:57 -07:00
Jeff Donahue
a6ae5be95e
post rebase fixes: images layer and padding layer compute loss in
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forward
2014-03-19 12:37:31 -07:00
Jeff Donahue
0551d93831
null pointer defaults for forward loss outputs
2014-03-19 12:37:31 -07:00
Jeff Donahue
44fbb82f47
loss in forward pass for concat layer (thought i'd rebased to latest dev
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but apparently not)
2014-03-19 12:37:31 -07:00
Jeff Donahue
ed23b68906
fix softmax loss layer bug; all tests pass
2014-03-19 12:37:31 -07:00